added paddle.nanmean function frontend and test for it

[sabre-code]

PR Description

Added paddle.nanmean function and test for it.

Related Issue

Close #22885

Checklist

• Did you add a function?
• Did you add the tests?
• Did you follow the steps we provided?

Socials:

discord - Sulaiman

[github-actions]

Thanks for contributing to Ivy! 😊👏
Here are some of the important points from our Contributing Guidelines 📝:
1. Feel free to ignore the run_tests (1), run_tests (2), … jobs, and only look at the display_test_results job. 👀 It contains the following two sections:
- Combined Test Results: This shows the results of all the ivy tests that ran on the PR. ✔️
- New Failures Introduced: This lists the tests that are passing on main, but fail on the PR Fork. Please try to make sure that there are no such tests. 💪
2. The lint / Check formatting / check-formatting tests check for the formatting of your code. 📜 If it fails, please check the exact error message in the logs and fix the same. ⚠️🔧
3. Finally, the test-docstrings / run-docstring-tests check for the changes made in docstrings of the functions. This may be skipped, as well. 📚
Happy coding! 🎉👨‍💻

[sabre-code]

@tomatillos hello, can you please review the PR and merge if things are fine

[sabre-code]

@tomatillos hello can you please review the PR?

[tomatillos]

Hi, looks good so far. Could you ensure that the test function is testing for NaN values too, otherwise we aren't properly testing the function for values it might encounter. You should be able to find examples of this in the other nan test functions in the file

[sabre-code]

Hi, looks good so far. Could you ensure that the test function is testing for NaN values too, otherwise we aren't properly testing the function for values it might encounter. You should be able to find examples of this in the other nan test functions in the file

Yeah you are absolutely correct 😄. Will get back to you shortly.

[sabre-code]

@tomatillos

the test fail randomly on one or 2 of the backends. Please see the attached screenshot. the difference between the output from function is negligible. (due to difference in precision probably). I am sure this is not because of testing for Nan value. I face this error earlier for other function. and the failing of test for this reason is random. sometime all pass sometime one or 2 fail for same reason. Any suggestions?

[tomatillos]

Does the same thing happen with test_paddle_nansum?

[sabre-code]

Does the same thing happen with test_paddle_nansum?

I made changes to rtol and atol. now all test pass. and also added allow_nan to use nan values for testing.

[tomatillos]

Thanks for this :)